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Welcome to Maastricht University! Join us in optimizing transcranial magnetic stimulation (TMS) for personalized epilepsy treatments! PhD Candidate: Towards Personalized Brain Stimulation
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. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant patient outcomes. You will use a real-world case study on
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 2 months ago
Designing tailor-made soil amendments is a promising approach to steering and optimizing soil microbiomes and soil functions. These amendments should preferably be derived from renewable and circular sources
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for the project team. We are looking for a student with a strong background in at least one of the following subjects: statistics, machine learning, discrete optimization, operations research. A strong interest in
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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the second direction, you will explore the geometric design of nonlinear systems. Using nonlinear reduced order modelling (ROM) integrated with optimization algorithms, you will design structures
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optimization algorithms, you will design structures that deliberately harness modal couplings to exhibit tailored nonlinear behaviour, with direct applications in ultrasensitive resonant sensing. Together
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project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities This fully funded PhD position lies at the interface between fundamental physics and